DS_webclass / app /pages /week_1.py
raymondEDS
Week 2 HW
63a7f01
raw
history blame
368 Bytes
import streamlit as st
import numpy as np
import plotly.graph_objects as go
from sklearn.linear_model import LinearRegression
# Week 1 content in person
def show():
st.markdown("""
## Week 1 content in person
""")
# Week 1 content online
def show():
st.markdown("""
## Week 1 content not online yet
""")
if __name__ == "__main__":
show()